autointent.custom_types

Types used throughout AutoIntent library.

Attributes

FloatFromZeroToOne	Float value between 0 and 1, inclusive.
LabelType	Type alias for label representation
LabelWithOOS	Any label that autointent modules can handle.
ListOfGenericLabels	List of labels that AutoIntent modules can handle.
ListOfLabels	List of labels without OOS-samples that AutoIntent modules can handle.
ListOfLabelsWithOOS	List of labels with OOS-samples that AutoIntent modules can handle.
MultiLabel	List label for multi-label classification problems.
MultiLabelWithOOS	List label for multi-label classification problems with OOS samples.
SamplerType	Hyperparameter tuning strategies:
SearchSpacePreset	Some presets that our library supports from lightest to heaviest:
SearchSpaceValidationMode	Behavior when meet a data-incompatible module in search space:
SimpleLabel	Integer label for single-label classification problems.
SimpleLabelWithOOS	Integer label for single-label classification problems with OOS samples.
ValidationScheme	Validation scheme used in hyperparameter tuning:
WeightType	Represents weight calculation methods

Classes

LogLevel	Logging levels for the AutoIntent framework.
NodeType	Enumeration of node types in the AutoIntent pipeline.
Split	Enumeration of data splits in the AutoIntent framework.

Package Contents

autointent.custom_types.FloatFromZeroToOne

Float value between 0 and 1, inclusive.

type autointent.custom_types.LabelType = SimpleLabel | MultiLabel

Type alias for label representation

• int: For single-label classification.

• list[int]: For multi-label classification.

autointent.custom_types.LabelWithOOS

Any label that autointent modules can handle.

autointent.custom_types.ListOfGenericLabels

List of labels that AutoIntent modules can handle.

autointent.custom_types.ListOfLabels

List of labels without OOS-samples that AutoIntent modules can handle.

autointent.custom_types.ListOfLabelsWithOOS

List of labels with OOS-samples that AutoIntent modules can handle.

autointent.custom_types.MultiLabel

List label for multi-label classification problems.

autointent.custom_types.MultiLabelWithOOS

List label for multi-label classification problems with OOS samples.

autointent.custom_types.SamplerType

Hyperparameter tuning strategies:

• brute: optuna.samplers.BruteForceSampler

• tpe: optuna.samplers.TPESampler

• random: optuna.samplers.RandomSampler

autointent.custom_types.SearchSpacePreset

Some presets that our library supports from lightest to heaviest:

• light_extra: just like light but tuned with optuna.samplers.RandomSampler

• light: only light-weight modules tuned with optuna.samplers.TPESampler

• light_moderate: just like light but tuned with optuna.samplers.BruteForceSampler

• heavy_moderate: just like heavy but tuned with optuna.samplers.RandomSampler

• light: light-weight modules accompanied with heavy-weight ones tuned with optuna.samplers.TPESampler

• heavy_extra: just like light but tuned with optuna.samplers.BruteForceSampler

autointent.custom_types.SearchSpaceValidationMode

Behavior when meet a data-incompatible module in search space:

• raise: raise an error

• warning: warn user

• filter: drop incompatible modules from search space

autointent.custom_types.SimpleLabel

Integer label for single-label classification problems.

autointent.custom_types.SimpleLabelWithOOS

Integer label for single-label classification problems with OOS samples.

autointent.custom_types.ValidationScheme

Validation scheme used in hyperparameter tuning:

• ho: hold-out validation

• cv: cross-validation

autointent.custom_types.WeightType

Represents weight calculation methods

• “uniform”: Equal weight for all elements.

• “distance”: Weights based on distance.

• “closest”: Prioritizes closest elements.